research-article

Designing a Business View of Enterprise Data: An approach based on a Decentralised Enterprise Knowledge Graph

Authors:

Max ChevalierAuthors Info & Claims

IDEAS '21: Proceedings of the 25th International Database Engineering & Applications Symposium

Pages 184 - 193

https://doi.org/10.1145/3472163.3472276

Published: 07 September 2021 Publication History

Abstract

Nowadays, companies manage a large volume of data usually organised in ”silos”. Each ”data silo” contains data related to a specific Business Unit, or a project. This scattering of data does not facilitate decision-making requiring the use and cross-checking of data coming from different silos. So, a challenge remains: the construction of a Business View of all data in a company. In this paper, we introduce the concepts of Enterprise Knowledge Graph (EKG) and Decentralised EKG (DEKG). Our DEKG aims at generating a Business View corresponding to a synthetic view of data sources. We first define and model a DEKG with an original process to generate a Business View before presenting the possible implementation of a DEKG.

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Cited By

Flores JRabbani KNadal SGómez CRomero OJamin EDasiopoulou S(2024)Incremental schema integration for data wrangling via knowledge graphsSemantic Web10.3233/SW-23334715:3(793-830)Online publication date: 14-May-2024
https://doi.org/10.3233/SW-233347
Vidé BChevalier MRavat F(2022)Query Management for a Decentralised Enterprise Knowledge Graph2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS57111.2022.00012(17-24)Online publication date: Oct-2022
https://doi.org/10.1109/SITIS57111.2022.00012
Norta AKormiltsyn AUdokwu CDwivedi VAroh SNikolajev I(2022)A Blockchain Implementation for Configurable Multi-Factor Challenge-Set Self-Sovereign Identity Authentication2022 IEEE International Conference on Blockchain (Blockchain)10.1109/Blockchain55522.2022.00070(455-461)Online publication date: Aug-2022
https://doi.org/10.1109/Blockchain55522.2022.00070

Designing a Business View of Enterprise Data: An approach based on a Decentralised Enterprise Knowledge Graph
1. Information systems
  1. Data management systems

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cover image ACM Other conferences

IDEAS '21: Proceedings of the 25th International Database Engineering & Applications Symposium

July 2021

308 pages

ISBN:9781450389914

DOI:10.1145/3472163

Editors:
Bipin C. Desai
Concordia University, Canada
,
Bipin C. Desai
Concordia University, Canada
,
Jeffrey Ullman
Stanford University, USA
,
Richard McClatchey
Univ. Of West England, U.K
,
Motomichi Toyoma
Keio University, Japan

Copyright © 2021 ACM.

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Published: 07 September 2021

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IDEAS 2021

IDEAS 2021: 25th International Database Engineering & Applications Symposium

July 14 - 16, 2021

QC, Montreal, Canada

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Cited By

Flores JRabbani KNadal SGómez CRomero OJamin EDasiopoulou S(2024)Incremental schema integration for data wrangling via knowledge graphsSemantic Web10.3233/SW-23334715:3(793-830)Online publication date: 14-May-2024
https://doi.org/10.3233/SW-233347
Vidé BChevalier MRavat F(2022)Query Management for a Decentralised Enterprise Knowledge Graph2022 16th International Conference on Signal-Image Technology & Internet-Based Systems (SITIS)10.1109/SITIS57111.2022.00012(17-24)Online publication date: Oct-2022
https://doi.org/10.1109/SITIS57111.2022.00012
Norta AKormiltsyn AUdokwu CDwivedi VAroh SNikolajev I(2022)A Blockchain Implementation for Configurable Multi-Factor Challenge-Set Self-Sovereign Identity Authentication2022 IEEE International Conference on Blockchain (Blockchain)10.1109/Blockchain55522.2022.00070(455-461)Online publication date: Aug-2022
https://doi.org/10.1109/Blockchain55522.2022.00070

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